Deep convolutional neural network with self-transfer learning

  • US 10,460,440 B2
  • Filed: 10/24/2017
  • Issued: 10/29/2019
  • Est. Priority Date: 10/24/2017
  • Status: Active Grant
First Claim
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1. A convolutional neural network system, comprising:

  • a memory that stores computer executable components;

    a processor that executes computer executable components stored in the memory, wherein the computer executable components comprise;

    a machine learning component that generates learned medical imaging output regarding an anatomical region based on a convolutional neural network that receives medical imaging data, wherein the machine learning component performs a first convolutional layer process associated with sequential downsampling of the medical imaging data followed by a second convolutional layer process associated with sequential upsampling of the medical imaging data, and wherein a first convolutional layer of the first convolutional layer process corresponds to a last convolutional layer of the second convolutional layer process;

    a medical imaging diagnosis component that determines a classification and an associated localization for a portion of the anatomical region based on the learned medical imaging output associated with the convolutional neural network; and

    a visualization component that generates a multi-dimensional visualization associated with the classification and the localization for the portion of the anatomical region.

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